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Found 7 result(s)

ZBW Digital Long-Term Archive

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The ZBW Digital Long-Term Archive is a dark archive whose sole purpose is to guarantee the long term availability of the objects stored in it. The storage for the ZBW’s digital objects and their representation platforms is maintained by the ZBW division IT-Infrastructures and is not part of the tasks of the group Digital Preservation. The content that the ZBW provides is accessible via special representation platforms. The special representation platforms are: EconStor: an open access publication server for literature on business and economics. ZBW DIGITAL ARCHIVE: it contains born digital material from the domains of business and economics. The content of this archive is accessible in open access via EconBiz, the subject portal for business and economics of the ZBW. National and Alliance Licenses: the ZBW negotiates and curates licenses for electronic products on a national level. This is processed under the framework of the German Research Foundation as well as the Alliance of Science Associations, partly with third party funding, partly solely funded by the ZBW. A part of these electronic products is already hosted by the ZBW and counts among the items that are preserved in the digital archive. 20th Century Press Archive: a portal with access to archival material consisting of press clippings from newspapers covering the time period from the beginning of the 20th century to the year 1949.

Brock University Dataverse

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Brock University Dataverse, housed under the Ontario Council of University Libraries’ Scholars Portal Dataverse, is the central online repository for research data at Brock University.

Portal de Datos Abiertos de la Pontificia Universidad Católica del Perú

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This Open Data Portal provides access to a wide range of research data and data for research from various institutes, departments, faculties, research projects, libraries, archives, and individuals of the Pontifical Catholic University of Peru. It serves the entire university community, offering an extensive repository of datasets to support academic research and collaboration.

Bilkent University Institutional Repository

BUIR

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This site provides access to the research output of the institution. The interface is available in English. Users may set up email or RSS feeds to be alerted to new content.

Lakehead University Dataverse

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Lakehead University Dataverse is the central online repository for research data at Lakehead University.

Tilburg University Dataverse

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TiU Dataverse is the central online repository for research data at Tilburg University. The TiU Dataverse is managed by the Research Data Office (RDO) at Library and IT Services (LIS). TiU Dataverse takes part of the DataverseNL network. DataverseNL is a shared data service of several Dutch universities and institutions. The data management is in the hands of the member organizations, while the national organization Data Archiving and Networked Services (DANS) manages the network

EUDAT

European Data Infrastructure

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The EUDAT project aims to contribute to the production of a Collaborative Data Infrastructure (CDI). The project´s target is to provide a pan-European solution to the challenge of data proliferation in Europe's scientific and research communities. The EUDAT vision is to support a Collaborative Data Infrastructure which will allow researchers to share data within and between communities and enable them to carry out their research effectively. EUDAT aims to provide a solution that will be affordable, trustworthy, robust, persistent and easy to use. EUDAT comprises 26 European partners, including data centres, technology providers, research communities and funding agencies from 13 countries. B2FIND is the EUDAT metadata service allowing users to discover what kind of data is stored through the B2SAFE and B2SHARE services which collect a large number of datasets from various disciplines. EUDAT will also harvest metadata from communities that have stable metadata providers to create a comprehensive joint catalogue to help researchers find interesting data objects and collections.